Linking pages
- OptFormer: Towards Universal Hyperparameter Optimization with Transformers – Google AI Blog https://ai.googleblog.com/2022/08/optformer-towards-universal.html 1 comment
- Google at ICLR 2022 – Google AI Blog https://ai.googleblog.com/2022/04/google-at-iclr-2022.html 0 comments
- Open Source Vizier: Towards reliable and flexible hyperparameter and blackbox optimization – Google AI Blog https://ai.googleblog.com/2023/02/open-source-vizier-towards-reliable-and.html 0 comments
- An open-source gymnasium for machine learning assisted computer architecture design – Google Research Blog https://ai.googleblog.com/2023/07/an-open-source-gymnasium-for-computer.html 0 comments
- An open-source gymnasium for machine learning assisted computer architecture design – Google Research Blog https://blog.research.google/2023/07/an-open-source-gymnasium-for-computer.html?m=1 0 comments
Linked pages
- Towards a Conversational Agent that Can Chat About…Anything – Google AI Blog https://ai.googleblog.com/2020/01/towards-conversational-agent-that-can.html 152 comments
- Machine Learning for Computer Architecture – Google AI Blog https://ai.googleblog.com/2021/02/machine-learning-for-computer.html 21 comments
- [2009.06489] The Hardware Lottery https://arxiv.org/abs/2009.06489 16 comments
- Edge TPU - Run Inference at the Edge | Google Cloud https://cloud.google.com/edge-tpu 12 comments
- ICLR 2023 https://iclr.cc 10 comments
- [1505.04597] U-Net: Convolutional Networks for Biomedical Image Segmentation https://arxiv.org/abs/1505.04597 8 comments
- google-research/prime at master · google-research/google-research · GitHub https://github.com/google-research/google-research/tree/master/prime 1 comment
- Transformers for Image Recognition at Scale – Google AI Blog https://ai.googleblog.com/2020/12/transformers-for-image-recognition-at.html 1 comment
- [1412.6572] Explaining and Harnessing Adversarial Examples http://arxiv.org/abs/1412.6572 1 comment
- AI Accelerators — Part I: Intro. The modern world as we know it is… | by Adi Fuchs | Medium https://medium.com/@adi.fu7/ai-accelerators-part-i-intro-822c2cdb4ca4 1 comment
- Designs from Data: Offline Black-Box Optimization via Conservative Training – The Berkeley Artificial Intelligence Research Blog https://bair.berkeley.edu/blog/2021/10/25/coms_mbo/ 0 comments
- Train and run machine learning models faster | Cloud TPU | Google Cloud https://cloud.google.com/tpu/ 0 comments
- [2110.11346] Data-Driven Offline Optimization For Architecting Hardware Accelerators https://arxiv.org/abs/2110.11346 0 comments
- Introducing the Next Generation of On-Device Vision Models: MobileNetV3 and MobileNetEdgeTPU – Google AI Blog https://ai.googleblog.com/2019/11/introducing-next-generation-on-device.html 0 comments
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